Implementation of a Traceback Testing Program for Ovarian Cancer: Findings from the FACTS Study Article Swipe
Nora B. Henrikson
,
M. Cabell Jonas
,
Paula R. Blasi
,
Adam H. Buchanan
,
Pim Suwannarat
,
Kathleen A. Leppig
,
Aaron Scrol
,
Tracey Leitzel
,
Adrienne Deneal
,
Daniela Canedo
,
Arvind Ramaprasan
,
Sundeep Basra
,
Jennifer R. Brown
,
Marilyn Odums
,
Yirui Hu
,
Katrina M Romagnoli
,
Estella Khieu
,
Elsa Balton
,
Saumya Patel
,
Muki Kunnmann
,
Dina Hassen
,
Jing Hao
,
Meredith Lewis
,
Rachel Schwiter
,
Jessica Goehringer
,
Heather M. Ramey
,
Shanshan Gustafson
,
Katrina Hsieh
,
Ilene Ladd
,
Alanna Kulchak Rahm
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cancers17071154
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/cancers17071154
Background: Traceback testing—identifying and offering testing to people with previous cancer diagnoses who have not received current standard genetic testing—could benefit patients and their at-risk relatives. Methods: We conducted a multisite, nonrandomized pilot implementation study of a Traceback program at three integrated United States health systems. We assessed the reach, fidelity, effectiveness, and acceptability of the program using quantitative and qualitative methods. Results: We identified 597 eligible individuals using administrative data and manual chart review. We attempted to reach everyone identified (100% fidelity). We successfully contacted 354 people, for a reach of 59% of confirmed eligible individuals. In total, 133 people completed Traceback genetic testing. Ten of these (8%) received pathogenic or likely pathogenic results;. Nine of these ten people received positive results for which cascade testing of at-risk relatives would be indicated. None of their relatives underwent cascade testing during the study period. Thirty-six received variants of uncertain significance (VUS). Traceback programs were acceptable to participants and implementers and thought to be applicable to other genetic screening conditions. The time and resources required to accurately identify Traceback-eligible individuals are likely determinants of future sustainability. Conclusions: Education about free cascade testing, reminder calls to probands, and offers to directly contact at-risk relatives did not result in cascade testing in this pilot study. However, participant and implementer discussions suggest that the potential benefits of Traceback programs and high participant acceptability are worthy of further study.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/cancers17071154
- https://www.mdpi.com/2072-6694/17/7/1154/pdf?version=1743235862
- OA Status
- gold
- References
- 27
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4408992035
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4408992035Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/cancers17071154Digital Object Identifier
- Title
-
Implementation of a Traceback Testing Program for Ovarian Cancer: Findings from the FACTS StudyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-03-29Full publication date if available
- Authors
-
Nora B. Henrikson, M. Cabell Jonas, Paula R. Blasi, Adam H. Buchanan, Pim Suwannarat, Kathleen A. Leppig, Aaron Scrol, Tracey Leitzel, Adrienne Deneal, Daniela Canedo, Arvind Ramaprasan, Sundeep Basra, Jennifer R. Brown, Marilyn Odums, Yirui Hu, Katrina M Romagnoli, Estella Khieu, Elsa Balton, Saumya Patel, Muki Kunnmann, Dina Hassen, Jing Hao, Meredith Lewis, Rachel Schwiter, Jessica Goehringer, Heather M. Ramey, Shanshan Gustafson, Katrina Hsieh, Ilene Ladd, Alanna Kulchak RahmList of authors in order
- Landing page
-
https://doi.org/10.3390/cancers17071154Publisher landing page
- PDF URL
-
https://www.mdpi.com/2072-6694/17/7/1154/pdf?version=1743235862Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2072-6694/17/7/1154/pdf?version=1743235862Direct OA link when available
- Concepts
-
Ovarian cancer, Medicine, Oncology, Cancer, Computer science, Internal medicine, Medical physicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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27Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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